![]() Rather than manually calling fetches from componentDidMount , we can just decorate our components with queries, and let Apollo fetch the data for us. We don’t use document.createElement directly when manipulating the DOM, and that means the rendering engine of our framework can transparently optimize how to make our UI match the desired state.Īpollo Client allows us to do the same thing with data fetching. With React and other view frameworks today, everyone has pretty much agreed that declaratively specifying your view structure is the way to go. Let’s take a quick tour through Apollo Client’s main features! Wrap components with queries With Apollo Client, you don’t have to think about manual data fetching, but you can still inspect exactly what is happening internally and plug in your own custom logic wherever you need to! Data flow in Apollo Client is simple - all data passes through Redux. It integrates seamlessly with Redux and has a simple data flow model, so you always understand what your app is doing.It’s compatible with all GraphQL servers.It’s small and self-contained, so you can just npm install apollo-client react-apollo and start loading data.That’s why we’re building Apollo Client, the new GraphQL client: It uses RxJS underneath which I already wrote about briefly. Wouldn’t it be awesome if you could get the magic of Relay and Meteor, but with all of the simplicity, transparency, and tooling you love in Redux? Redux-observable is alternative way of performing async operations in JavaScript applications that use redux, apart from redux-thunk. This causes people to reach for more automatic server data management platforms, like Relay and Meteor, which can make your code more concise and declarative, but introduce a heavy dose of magic: You need a lot of knowledge of Meteor or Relay internals to fully understand where the data in your app is going, when it’s getting loaded, and why. You need to write custom code to call your server endpoints, interpret the data, normalize it, and insert it into the store - all while keeping track of various error and loading states. Unfortunately the patterns for asynchronously loading server data in a Redux app aren’t as well established, and often involve using external helper libraries, like redux-saga. It’s on the path to becoming the standard client-side data management pattern for React, and for good reason - its simple concepts and nice developer tools give you the ultimate control over your app. If you’re using React, there’s a good chance you’re either using or have heard of Redux. Follow our publication to find out more about those! Simple, transparent data flow We’re focusing on React and Redux in this post, but we’re also working on seamless integration with Angular 2, RxJS, Meteor, and other technologies. That’s why we built Apollo Client, the simplest way to bind GraphQL server data to your React components. React and Redux are a great team, but Redux doesn’t have a built-in solution for server-side data fetching. Redux and Redux Observable can be categorized as 'State Management Library. Compose and cancel async actions to create side effects and more. It allows developers to dispatch a function that returns an observable, promise or iterable of action(s). However, many of the concepts in this post still apply. On the other hand, Redux Observable is detailed as 'A powerful middleware for Redux using RxJS'. You can read all about it in James’ post, and learn how to use react-apollo in the documentation. Suppose this demo code: const pingEpic = action$ => action$.pipe(įilter(action => action.Update (Sept 2016): We’ve released version 0.4.0 of react-apollo which has a new API.
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